MétaCan
Menu
Back to cohort
Record W3045780364 · doi:10.1177/0022146520942897

Control and the Health Effects of Work–Family Conflict: A Longitudinal Test of Generalized Versus Specific Stress Buffering

2020· article· en· W3045780364 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Health and Social Behavior · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsPsychologyWork–family conflictDistressPsychosocialScheduleControl (management)Work (physics)Social psychologyResource (disambiguation)Clinical psychologyDevelopmental psychologyComputer sciencePsychiatry

Abstract

fetched live from OpenAlex

The stress associated with work-to-family conflict (WFC) and family-to-work conflict (FWC) is well documented. However, surprisingly little is known about the resources that moderate the effects of work–family conflict on health over time. Using four waves of panel data from the Canadian Work, Stress, and Health Study (2011–2017; n = 11,349 person-wave observations), we compare how a core psychosocial resource (personal mastery) and a salient organizationally based resource (schedule control) moderate the health effects of WFC and FWC. After establishing these health effects related to distress and physical symptoms, we discover that mastery has generalized stress-buffering functions whereby it alleviates the health effects of both WFC and FWC. In contrast, schedule control has asymmetrical moderating functions: It attenuates the health effects of WFC only. These findings elaborate and sharpen the scope of resources as moderators in the stress process model—and we integrate these ideas with other conceptual models like the job demands-resources model.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.196
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.074
GPT teacher head0.348
Teacher spread0.274 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it